R 3.5.2, the latest version of the R language for statistical computation and graphics from the R Foundation, was released today. (This release is codenamed “Eggshell Igloo”, likely in reference to this or this Peanuts cartoon.) Compared to R 3.5.1, this update includes only bug fixes, so R scripts and packages compatible with R 3.5.0 or R 3.5.1 should work without modification.

The success of an ecommerce platform heavily relies on the reputation that has been established through thousands of user reviews and social shares by customers. By reviewing and sharing information existing customers establish a trust relationship with something they can’t physically touch. For this content to be accessible to a global audience it’s critical to translate it into the local language to help customers make their buying decisions.

Our last collection of free machine learning and data science courses was well received, so why not compile another? Here are 10 more courses to help with your winter learning season. Courses range from introductory machine learning to deep learning to natural language processing and beyond.

Our BH package provides a sizeable portion of the Boost C++ libraries as a set of template headers for use by R. It is quite popular, and frequently used together with Rcpp. The BH CRAN page shows e.g. that it is used by rstan, dplyr as well as a few other packages. The current count of reverse dependencies is at 159.

Principal Component Analysis (PCA) and Whitening (jvcoords)Provides functions to standardize and whiten data, and to perform Principal Component Analysis (PCA). The main advantage of this package over alternati …

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Briana Brownell knows a thing or two about data science. Before founding the data analytics and machine learning firm Purestrategy.ai, she worked with a variety of companies from startups to Fortune 500 firms on marketing and analytics. She’s also worked on a variety of cool data science and machine learning projects, doing things like teaching a computer to write a Shakespearean sonnet and trying to trick handwriting recognition AI.

I want to draw your attention to a very valuable (and short!) whitepaper from my colleague, Professor Andrew Ng, where he shares important insights on how to lead companies into the AI era.

A. Introduction